Head of AI Transformation and Delivery

Role overview

TheHead of AI Transformation and Delivery is a senior executive appointmentreporting to the Chief Executive Officer within our Singapore-based consultingbusiness.

Onthe client side, the role acts as a trusted adviser to client boards, CEOs andC-suite leaders. It shapes their AI, data and analytics strategies, leadsconsulting and delivery teams to develop and validate AI opportunities, governsthe data and AI used in each engagement, and evidences the return on investmentclients achieve.

Withinthe firm, the role takes on Chief Operating Officer and Chief Risk Officer alignedresponsibilities for the Singapore business. It manages the business's budgets,drives operational performance and leads enterprise risk management andregulatory compliance on behalf of the CEO.

Key responsibilities

Client consulting and delivery

• Client executive and boardadvisory: Serve as strategic counsel to client boards, CEOs and executive committeesacross multiple industries, shaping their AI ambition, investment appetite andtransformation priorities in the context of each client's competitive positionand operating model.
• Client AI, data andanalytics strategy: Diagnose client business needs and define multi-year AI,data and analytics strategies and roadmaps that align to their corporatestrategy, unlock new revenue and efficiency pools, and build durablecapability.
• Opportunity originationand practice growth: Originate, shape and win new client engagements, and assessand prioritise each client's AI opportunities against strategic fit, value atstake, feasibility, risk and data readiness.
• Engagement delivery atscale: Direct the firm's technology, data science, engineering and business consultingteams, alongside client teams, partners and vendors, to design, validate andindustrialise AI solutions from proof of value through to production-gradedeployment.
• Client value realisationand ROI: Build and validate the investment case for every client AI opportunity,establishing rigorous ROI methodologies, benefits-tracking frameworks andperformance metrics, and evidencing realised value to client executives andboards.
• Client data and AIgovernance: Hold accountability for data and AI governance across all clientengagements, including responsible AI, model risk, ethics, privacy, security,explainability and compliance with evolving regulation across Asianjurisdictions.
• Governance frameworks,policy and training: Develop data governance frameworks, policies, standards andprocedures for clients, and lead training and change programs that embedgovernance discipline and data literacy in client organisations.
• Client change andoperating model: Guide clients through the cultural, structural and operating modelchange needed to adopt AI at scale, including AI centres of excellence, talentstrategies and decision-rights frameworks.
• Regional clientleadership: Represent the firm across Asia, travelling frequently to lead clientexecutive engagements, steer programs and build senior client relationshipsacross diverse markets and cultures.

Singapore business operations (COO-aligned)

• Budget and financialmanagement: Own and manage the Singapore business's operating and capital budgets,leading annual planning, forecasting, cost governance, utilisation and resourceallocation so spend is disciplined and tied to strategic outcomes.
• Operational performanceand execution: Partner with the CEO to drive operational excellence across theSingapore business, setting KPIs, monitoring practice and engagementperformance and intervening to resolve delivery, margin or productivity issues.
• Operating model andprocess optimisation: Design and continuously improve the Singapore business'soperating model, core processes and organisational structures to increaseefficiency, scalability and cross-functional alignment.

Singapore business risk management (CRO-aligned)

• Enterprise riskmanagement: Support the CEO in establishing and running the Singapore business'senterprise risk management framework, including risk appetite, risk registers,controls and escalation, across operational, engagement delivery, technology,data, regulatory and strategic risk.
• Regulatory compliance andassurance: Ensure the Singapore business meets its regulatory and contractual obligations,maintaining strong relationships with regulators, auditors and assurancefunctions and overseeing remediation where gaps arise.
• Risk reporting andoversight: Provide the CEO, board and risk committees with clear, timely reporting on theSingapore business's risk profile, emerging threats, incidents and mitigationprogress, enabling informed risk-adjusted decisions.

Key skills and experience

• 15+ years of experience in AI, data, analytics or digitaltransformation consulting, including senior leadership of client strategy anddelivery engagements
• Proven track record of engaging and influencing clientC-suite and executive-level stakeholders, and of originating and growing clientrelationships
• Experience across multiple industries, such as financialservices, retail, manufacturing, healthcare, logistics and telecommunications
• Demonstrated success developing AI, data and analyticsstrategies and roadmaps
• Leadership of multidisciplinary teams of technologists, datascientists and business analysts
• End-to-end delivery of AI and machine learning solutions,from ideation and proof of concept to production
• Expertise in business cases, ROI models and value-trackingframeworks
• Deep knowledge of data governance, AI governance andresponsible AI frameworks
• Experience developing governance policies, procedures andtraining programs
• Working knowledge of Asian data and AI regulation, such asSingapore's PDPA and Model AI Governance Framework
• Solid understanding of modern data platforms, cloudtechnologies and AI/ML tools, including generative AI
• Strong program management, commercial and stakeholdermanagement skills
• Excellent communicator, able to explain complex technicalconcepts to non-technical audiences
• Experience working across diverse cultures and markets inAsia
• Willing and able to travel frequently within the region
• Bachelor's degree in Computer Science, Data Science,Engineering, Business or a related field; a Master's or MBA is an advantage
• Proven experience owning and managing the budgets of aconsulting or professional services business, including planning, forecasting,cost control and investment allocation
• Track record of supporting a CEO in managing the operationalperformance and enterprise risk management activities of a Singapore orregional business
• Strong grounding in enterprise risk frameworks, internalcontrols and regulatory compliance in Asian markets